Evaluation of integrated sustainable last-mile delivery methods in an intuitionistic fuzzy environment

BİLGİLİ F., Yılmaz Ş., ZARALI F., ÇETİN DEMİREL N.

Environment, Development and Sustainability, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s10668-024-05461-0
  • Dergi Adı: Environment, Development and Sustainability
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, International Bibliography of Social Sciences, PASCAL, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Business Source Elite, Business Source Premier, CAB Abstracts, Geobase, Greenfile, Index Islamicus, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Integrated, Intuitionistic fuzzy environment, Last-mile delivery, Multi-criteria decision-making
  • Erciyes Üniversitesi Adresli: Evet

Özet

The ever-increasing population in urban centers, technological developments, and changing purchasing habits increase the demand for last-mile (LM) delivery services. This growing demand causes a rise in commercial mobility in city centers and leads to a series of problems in terms of the sustainability of cities. Some of these troubles are traffic congestion and parking problems, accident risks, emissions, and air and noise pollution. To combat such issues conventional home delivery is being replaced by sustainable LM delivery methods such as delivery via parcel locker, drone, cargo bike, and micro-hubs. Moreover, the integrated use of these sustainable LM delivery methods has become widespread in literature and practice due to the opportunities they offer to increase efficiency, reduce costs, and mitigate environmental degradation. In this study, the integrated sustainable LM delivery methods have been ranked using an intuitionistic fuzzy TOPSIS approach. While evaluating integrated sustainable LM methods, in addition to economic, environmental, and social ones, technical criteria have also been considered and a wide set of criteria have been used. According to the findings, the mobile depot and e-bike integrated delivery method has been determined to be the most sustainable LM delivery method.